Description

Design and build autonomous AI systems, multi-agent architectures, and scalable backend services for production environments.

This role is on-site.

Responsibilities

• Architect and develop AI-driven autonomous systems and multi-agent frameworks using cognitive computing technologies.
• Build and optimize high-performance backend microservices in Python, including scalable REST and gRPC APIs.
• Develop end-to-end MLOps/AIOps pipelines to automate model testing, deployment, monitoring, and lifecycle management.
• Architect and maintain scalable data infrastructure and pipelines across Snowflake, Databricks, and Lakehouse environments.
• Collaborate with engineering teams to deliver production-ready AI solutions aligned with enterprise architecture standards.

Required Skills

• 5+ years of experience in software engineering or platform development.
• Strong proficiency in Python for backend service development.
• Experience with Snowflake and Databricks data platforms.
• Hands-on experience with Lakehouse architecture and data pipelines.
• Proven ability to design and maintain REST and gRPC APIs.
• Familiarity with MLOps tools and automated deployment pipelines.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with agentic frameworks and multi-agent system design.
• Background in cognitive computing technologies.

Key Skills

Education

Bachelor's degree